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作 者:高雪 臧金环 Gao Xue;Zang Jinhuan(China Auto Infomation Technology Co.,Ltd.,Tianjin 300000)
机构地区:[1]中汽信息科技(天津)有限公司,天津300000
出 处:《汽车文摘》2023年第6期57-62,共6页Automotive Digest
摘 要:随着大数据的发展,对于车辆的监控除了车辆信息、备案转发情况等业务功能需求外,还有对于车辆实时数据分析和统计的需求。为了解决该问题,提出了一种通过Java和Python整合技术,使业务平台和算法平台相结合的融合模型方案,通过命令行在Java代码中调用Python脚本,并对外提供程序接口(API)供业务平台调用,该方案使业务平台和算法平台之间实现了集成,同时均作为独立服务部署,相互解耦,更好地监控车辆信息、实时数据、故障信息和运行情况。系统设计与实现符合大数据时代汽车行业数字化转型需求,提出了汽车监控系统技术优化方案,并对融合模型的技术设计进行了详细阐述。该融合模型在车辆监控系统中的应用对于汽车行业智能化发展具有重要价值。With the development of big data,in addition to the needs of business functions such as vehicle information and record forwarding,the monitoring of vehicles also requires analysis and statistics of real-time vehicle data.In order to solve this problem,a fusion model scheme is proposed that combines the business platform and the algorithm platform through the technologies of Java and Python integration.The Python script is called in the Java code through the command line,and an Application Program Interface(API) is provided externally for the business platform to call.The solution integrates the business platform and the algorithm platform,and at the same time,they are deployed as independent services,decoupled from each other,and better monitoring vehicle information,real-time data,fault information,and operating conditions.The design and implementation of the system are in line with the digital transformation needs of the vehicle industry in the era of big data.The technical optimization scheme of the vehicle monitoring system is proposed,and the technical design of the fusion model is elaborated in detail.The application of the fusion model in vehicle monitoring system is of great value to the intelligent development of vehicle industry.
关 键 词:JAVA PYTHON 融合模型 解耦 车辆监控
分 类 号:TP311.1[自动化与计算机技术—计算机软件与理论] U471.1[自动化与计算机技术—计算机科学与技术]
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